Sarah Kim

3.3k total citations · 1 hit paper
120 papers, 2.4k citations indexed

About

Sarah Kim is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Sarah Kim has authored 120 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 23 papers in Biomedical Engineering and 16 papers in Oncology. Recurrent topics in Sarah Kim's work include Nanofabrication and Lithography Techniques (11 papers), Muscle Physiology and Disorders (7 papers) and Tuberculosis Research and Epidemiology (6 papers). Sarah Kim is often cited by papers focused on Nanofabrication and Lithography Techniques (11 papers), Muscle Physiology and Disorders (7 papers) and Tuberculosis Research and Epidemiology (6 papers). Sarah Kim collaborates with scholars based in United States, South Korea and Germany. Sarah Kim's co-authors include Seung‐Man Yang, Dae‐Geun Choi, Se Gyu Jang, Hyung Kyun Yu, Willa A. Hsueh, Shu Wakino, Ronald E. Law, Jong‐Ryul Jeong, Stephan Schmidt and Ulrich Kintscher and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Neuroscience and Nano Letters.

In The Last Decade

Sarah Kim

107 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nanomachining by Colloidal Lithography

2006 503 citations Dae‐Geun Choi, Sarah Kim et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sarah Kim United States	24	673	614	477	380	357	120	2.4k
Mi‐Jeong Kim South Korea	29	402 0.6×	455 0.7×	1.2k 2.4×	426 1.1×	155 0.4×	107	2.7k
Xiaofeng Wang China	31	730 1.1×	845 1.4×	1.1k 2.3×	509 1.3×	164 0.5×	145	3.1k
Francesco Valle Italy	31	850 1.3×	1.0k 1.7×	632 1.3×	390 1.0×	391 1.1×	124	3.3k
Keun‐Ho Lee South Korea	25	238 0.4×	329 0.5×	427 0.9×	817 2.1×	203 0.6×	144	2.5k
Hiroshi Shiraishi Japan	28	370 0.5×	540 0.9×	155 0.3×	636 1.7×	331 0.9×	165	3.2k
Kyu-Hwan Shim South Korea	27	495 0.7×	591 1.0×	1.1k 2.3×	1.0k 2.7×	526 1.5×	199	3.2k
Alexey Vertegel United States	25	798 1.2×	753 1.2×	1.3k 2.8×	614 1.6×	207 0.6×	87	3.2k
Gabriele Ciasca Italy	31	1.1k 1.6×	706 1.1×	715 1.5×	150 0.4×	210 0.6×	127	2.7k
Shaofei Zhang China	28	259 0.4×	568 0.9×	713 1.5×	324 0.9×	106 0.3×	107	2.3k
Yong Chen China	33	752 1.1×	1.7k 2.8×	716 1.5×	365 1.0×	172 0.5×	201	3.9k

Countries citing papers authored by Sarah Kim

Since Specialization

Citations

This map shows the geographic impact of Sarah Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sarah Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Kim more than expected).

Fields of papers citing papers by Sarah Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sarah Kim. The network helps show where Sarah Kim may publish in the future.

Co-authorship network of co-authors of Sarah Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Kim. A scholar is included among the top collaborators of Sarah Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah Kim. Sarah Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Ji-Su, et al.. (2025). Parahydrogen-induced hyperpolarization of a Zn(ii) complex using NMR signal amplification by reversible exchange (SABRE). Chemical Communications. 61(59). 11061–11064. 1 indexed citations

Kang, Sanghoon, et al.. (2024). Leveraging pre-trained machine learning models for islet quantification in type 1 diabetes. Journal of Pathology Informatics. 16. 100406–100406. 1 indexed citations

Lu, Brian, David Ha, Sarah Kim, et al.. (2024). Combination Antifungal Therapy for Invasive Mucormycosis in Immunocompromised Hosts: A Single-Center Experience. Open Forum Infectious Diseases. 11(6). ofae103–ofae103. 1 indexed citations

Kim, Ha Ram, et al.. (2024). Therapeutic Peptides, Proteins and their Nanostructures for Drug Delivery and Precision Medicine. ChemBioChem. 25(8). e202300831–e202300831. 5 indexed citations

Willcocks, Rebecca J., Michael J. Daniels, Ramona Belfiore, et al.. (2024). A model‐informed clinical trial simulation tool with a graphical user interface for Duchenne muscular dystrophy. CPT Pharmacometrics & Systems Pharmacology. 14(11). 1765–1774.

Kim, Sarah, et al.. (2023). Algorithm aversion, emotions, and investor reaction: Does disclosing the use of AI influence investment decisions?. International Journal of Accounting Information Systems. 52. 100664–100664. 12 indexed citations

Jackson, David, et al.. (2023). Rewiring Drug Research and Development through Human Data-Driven Discovery (HD3). Pharmaceutics. 15(6). 1673–1673. 1 indexed citations

Willcocks, Rebecca J., Michael J. Daniels, Sean C. Forbes, et al.. (2023). Clinical importance of changes in magnetic resonance biomarkers for Duchenne muscular dystrophy. Annals of Clinical and Translational Neurology. 11(1). 67–78. 3 indexed citations

Vozmediano, Valvanera, et al.. (2023). Pharmacokinetic and Pharmacodynamic Analysis of Acetaminophen and Ibuprofen Dual Therapy for Patent Ductus Arteriosus Closure in Preterm Neonates at Less Than 29 Weeks of Gestation. The Journal of Clinical Pharmacology. 64(3). 312–322. 1 indexed citations

10.

Kim, Sarah, et al.. (2023). Pharmacokinetics of ampicillin during venovenous extracorporeal membrane oxygenation: A case report. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 43(8). 864–868. 1 indexed citations

11.

Schmidt, Stephan, Valvanera Vozmediano, Rodrigo Cristofoletti, et al.. (2023). Requirements, expectations, challenges and opportunities associated with training the next generation of pharmacometricians. CPT Pharmacometrics & Systems Pharmacology. 12(7). 883–888. 4 indexed citations

12.

Burton, Jackson, Bilal Abuasal, Jamie N. Connarn, et al.. (2023). Future Opportunities in Drug Development: American Society for Clinical Pharmacology and Therapeutics Pharmacometrics and Pharmacokinetics Community Vision. Clinical Pharmacology & Therapeutics. 114(3). 507–510.

13.

Kim, Sarah, et al.. (2023). Peptide Hydrogels and Nanostructures Controlling Biological Machinery. Langmuir. 39(34). 11935–11945. 26 indexed citations

14.

Lu, Brian, David Ha, J Ferguson, et al.. (2023). 824. Combination Antifungal Therapy for Invasive Mucormycosis in Immunocompromised Hosts: A Single-Center Experience. Open Forum Infectious Diseases. 10(Supplement_2). 1 indexed citations

15.

Kim, Sarah, Arnold Louie, George L. Drusano, et al.. (2021). Evaluating the effect of clofazimine against Mycobacterium tuberculosis given alone or in combination with pretomanid, bedaquiline or linezolid. International Journal of Antimicrobial Agents. 59(2). 106509–106509. 10 indexed citations

16.

Cicali, Brian, Tao Long, Sarah Kim, & Rodrigo Cristofoletti. (2020). Assessing the impact of cystic fibrosis on the antipyretic response of ibuprofen in children: Physiologically‐based modeling as a candle in the dark. British Journal of Clinical Pharmacology. 86(11). 2247–2255. 6 indexed citations

17.

Latif, Nawar, Xiaochen Zhang, Lorraine T. Dean, et al.. (2017). Incidence of Venous Thromboembolism by Type of Gynecologic Malignancy and Surgical Modality in the National Surgical Quality Improvement Program. International Journal of Gynecological Cancer. 27(3). 581–587. 46 indexed citations

18.

Kim, Sarah, Srivathsava Surabhi, Kyung-Min Lee, et al.. (2015). Fabrication of undoped ZnO thin film via photosensitive sol–gel method and its applications for an electron transport layer of organic solar cells. Applied Surface Science. 351. 487–491. 21 indexed citations

19.

Kim, Sarah, et al.. (2012). Conformally direct imprinted inorganic surface corrugation for light extraction enhancement of light emitting diodes. Optics Express. 20(S5). A713–A713. 17 indexed citations

20.

Kim, Sarah, et al.. (2006). Automated Batch Archival Processing: Preserving Arnold Wesker's Digital Manuscripts. Texas ScholarWorks (Texas Digital Library). 30(2). 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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